Data Scientist
OneSeven Tech (OST)Argentina23 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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The Role
We’re hiring a Data Scientist to build predictive analytics solutions using subscriber/customer data. You’ll work with large, complex relational schemas (700+ tables), develop models like churn prediction and propensity scoring, and translate business needs into practical, measurable data science outputs. This role is highly collaborative and requires navigating a complex data architecture with multiple stakeholders.
About You
You’re strong in SQL + Python, comfortable exploring messy or inconsistent datasets, and you can adapt when different clients share the same schema but have different data availability. You communicate clearly, ask smart questions, and can partner closely with internal teams to understand data definitions, constraints, and the “why” behind the business problem.
Requirements
Strong SQL skills and ability to work with complex relational schemas (700+ tables)
Experience building predictive models, especially churn prediction and/or propensity scoring
Python for data science (pandas, scikit-learn, etc.)
Understanding of first-party data and subscriber/customer analytics
Ability to work with variable data structures across clients (same schema, different data availability per client/user)
Experience Translating Business Requirements Into Data Science Solutions
Clear communication skills and ability to collaborate closely with internal teams and navigate complex data ownership / points of contact
Bonus Skills
Snowflake experience (Cortex ML, Snowpark)
Experience with MarTech / publishing industry data (subscriptions, renewals, audience engagement)
NLP/LLM experience, including how to structure data for agent consumption (schema descriptions, context injection)
Experience building data dictionaries or metadata documentation for AI systems
Background in audience segmentation or marketing analytics
Familiarity with on-prem to cloud data replication patterns
Why This Matters
SEND YOUR RESUME IN ENGLISH, please.
Include
Founded by James Sullivan, who built OneSeven Tech - a premier digital product agency serving startups and enterprises. OneSeven has partnered with startup clients who have collectively raised over $100M in VC, with enterprise clients including 2000+ person hospitality groups and NASDAQ companies.
Having experienced firsthand how tech debt can destroy startups, we're on a mission to turn the "invisible tax" of bad code into actionable business intelligence. We work remotely, move fast with 1-week sprints, and focus on elegant solutions to complex problems.
We’re hiring a Data Scientist to build predictive analytics solutions using subscriber/customer data. You’ll work with large, complex relational schemas (700+ tables), develop models like churn prediction and propensity scoring, and translate business needs into practical, measurable data science outputs. This role is highly collaborative and requires navigating a complex data architecture with multiple stakeholders.
About You
You’re strong in SQL + Python, comfortable exploring messy or inconsistent datasets, and you can adapt when different clients share the same schema but have different data availability. You communicate clearly, ask smart questions, and can partner closely with internal teams to understand data definitions, constraints, and the “why” behind the business problem.
Requirements
Strong SQL skills and ability to work with complex relational schemas (700+ tables)
Experience building predictive models, especially churn prediction and/or propensity scoring
Python for data science (pandas, scikit-learn, etc.)
Understanding of first-party data and subscriber/customer analytics
Ability to work with variable data structures across clients (same schema, different data availability per client/user)
Experience Translating Business Requirements Into Data Science Solutions
Clear communication skills and ability to collaborate closely with internal teams and navigate complex data ownership / points of contact
Bonus Skills
Snowflake experience (Cortex ML, Snowpark)
Experience with MarTech / publishing industry data (subscriptions, renewals, audience engagement)
NLP/LLM experience, including how to structure data for agent consumption (schema descriptions, context injection)
Experience building data dictionaries or metadata documentation for AI systems
Background in audience segmentation or marketing analytics
Familiarity with on-prem to cloud data replication patterns
Why This Matters
- First Engineering Hire - Shape the technical foundation of a rapidly growing startup
- Massive Market - Tech debt affects $3 trillion globally with 41% created by AI
- Real Impact - Help companies save millions in development costs
- Cutting-edge Tech - Latest AI/ML technologies solving real business problems
- Growth Opportunity - Lead digital transformation in the modernization market
- Fully Remote with flexible working arrangements
- Growth Opportunity - Direct path to technical leadership
- Competitive Paid PTO Package - Company-paid time off
- Be an early employee at a growing startup
SEND YOUR RESUME IN ENGLISH, please.
Include
- LinkedIn Profile URL
- GitHub Portfolio - Show us your best work
- Live Project Examples - Applications or tools you've built
- Cover Letter - Why you're excited about CodeOpps
- Any other references highlighting your qualifications
Founded by James Sullivan, who built OneSeven Tech - a premier digital product agency serving startups and enterprises. OneSeven has partnered with startup clients who have collectively raised over $100M in VC, with enterprise clients including 2000+ person hospitality groups and NASDAQ companies.
Having experienced firsthand how tech debt can destroy startups, we're on a mission to turn the "invisible tax" of bad code into actionable business intelligence. We work remotely, move fast with 1-week sprints, and focus on elegant solutions to complex problems.
Key Skills
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